1

Internship Machine Learning Engineer Jobs in Arlington, TX

... ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems * Bachelor's degree in Computer Science, Machine Learning, Data Science, or a ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Develop machine learning models and algorithms to address business needs. Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions. Clean ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Responsibilities: • Develop machine learning models and algorithms to address business needs. • Collaborate with data scientists and software engineers to design and implement scalable and ...

Showing results 41-60

Internship Machine Learning Engineer information

See Arlington, TX salary details

$22.9K

$38.3K

$79.2K

How much do internship machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for internship machine learning engineer in Arlington, TX is $38,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,200.00 and $41,400.00 per year, depending on experience, location, and employer.

What does an internship machine learning engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

What is the difference between Internship Machine Learning Engineer vs Data Scientist Intern?

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

What types of projects and responsibilities can I expect as an internship machine learning engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

What are the key skills and qualifications needed to thrive as an internship machine learning engineer, and why are they important?

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical environment.
What are the most commonly searched types of Machine Learning Engineer jobs in Arlington, TX? The most popular types of Machine Learning Engineer jobs in Arlington, TX are:
What cities near Arlington, TX are hiring for Internship Machine Learning Engineer jobs? Cities near Arlington, TX with the most Internship Machine Learning Engineer job openings:

AI/Machine Learning Engineer

Equinix, Inc.

Dallas, TX • On-site

$144 - $196/hr

Other

Medical, Life, Retirement, PTO

Re-posted 2 days ago


Equinix rating

9.1

Company rating: 9.1 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

5th of 251 rated facilities management


Job description

Who are we?

Equinix is the worlds digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective. Help us challenge assumptions, uncover bias, and remove barriers - because progress starts with fresh ideas. You will find belonging, purpose, and a team that welcomes you - because when you feel valued, you're empowered to do your best work.

Job Summary

Independently leads and holds responsibility for multifaceted programs made up of multiple projects and processes; develops and reviews business cases for change and improvement.

Responsibilities Engineering Expectations (Core Capabilities)
  • Design and build end-to-end AI systems integrating ML models, LLMs, APIs, and enterprise data
  • Translate business requirements into scalable system architectures and solution designs
  • Develop backend services and API-driven architectures to operationalize intelligent systems
  • Implement data and model pipelines integrating structured and unstructured data sources
  • Work closely with Data Scientists and ML Engineers to integrate model outputs into production systems and decision workflows
  • Apply agent-based workflows and multi-step orchestration to enable complex system behavior
  • Ensure systems are production-ready - scalable, reliable, secure, and performant
  • Continuously improve system performance through testing, monitoring, and iterative refinement
Operating Model & Ways of Working
  • Work closely with business, product, Data Science, and engineering teams to co-create solutions and align on outcomes
  • Translate ambiguous problems into structured requirements and actionable system designs
  • Engage stakeholders regularly to refine solutions and drive adoption
  • Collaborate across teams to ensure integration with existing systems and enterprise standards
  • Maintain high-quality documentation and enable knowledge transfer and continuity
  • Take ownership of delivery by managing enhancements, releases, and system evolution
  • Stay current with industry trends and contribute to continuous improvement of team capabilities
Qualifications
  • 5+ years of experience in software engineering, AI/ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems
  • Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field
Pay Range

United States - Dallas Infomart Office DAI : 136,000 - 204,000 USD / Annual

Canada - Toronto Office TRO : 99,000 - 149,000 CAD / Annual

Equinix Benefits

As an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work.

Employee Assistance Program

An Employee Assistance program is available to all employees.

US Benefits
  • Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members.
  • Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future.
  • Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.
Canada Core Benefits
  • Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members.
  • Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA).
  • Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an affirmative action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

AI Hiring

We use artificial intelligence in our hiring process. Learn more here.

This posting is a new position within our organization.

#J-18808-Ljbffr

What Equinix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom